SRLibrary: Comparing different loss functions for super-resolution over various convolutional architectures.
Yildiray AnagünSahin IsikErol SekePublished in: J. Vis. Commun. Image Represent. (2019)
Keyphrases
- super resolution
- loss function
- low resolution
- high resolution
- image reconstruction
- image restoration
- support vector
- pairwise
- low resolution images
- loss minimization
- super resolution reconstruction
- risk minimization
- high quality
- high resolution images
- super resolved
- resolution enhancement
- motion estimation
- image super resolution
- reproducing kernel hilbert space
- machine learning
- convex loss functions
- graphical models
- video sequences